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Author

A. Rao

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Preprint Aug 2026

EchoWM: Open and Enterable Omnimodal World Models

EchoWM is an omnimodal world model for enterable generative media that responds to continuous navigation while jointly generating 720p video, environmental sound, music and speech, and maintains synchronized environmental sound and speech over long-horizon generation.

Song-Chun Zhang, Yao-Wei Li, Junhao Zhuang et al. · 10 citations · ⚡2
Preprint Sep 2026

Mask Forcing: Improving Autoregressive Video Diffusion Distillation via Dual-Noise Masking Rollout

Mask Forcing, a Dual-Noise Masking Rollout strategy that perturbs the AR student self-rollout to mitigate mode collapse induced by reverse-KL mode seeking, improves multiple AR video diffusion distillation methods with higher visual quality efficiently, without incorporating real video data or additional post-training...

Zhuo-Ran Zhao, Sheng-Ju Qian, Tong-Tong Liang et al. · 2 citations
#machine learning Preprint Aug 2026

VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning

This work introduces VBVR-Pro, a closed-loop testbed that makes native visual reasoning through generation trainable, verifiable, optimizable, and experimentally controllable, and identifies recurring failure modes of the prevalent VLM-as-a-judge paradigm.

Junhua Xu, Rui-Si Wang, Fanyi Pu et al. · 5 citations

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